Evidence map›Paper›PMID 40357498›Full record

ArticleClinical kidney journal2025

Estimating 24-hour urine phosphate excretion from spot urine.

Yongchao Li, Daniel G Fuster, Nasser A Dhayat, Harald Seeger, Alexander Ritter, Olivier Bonny, Gregoire Wuerzner, Thomas Ernandez, Stephan Segerer, Beat Roth and 2 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yongchao LiInstitute of Physiology, University of Zurich, Zurich, Switzerland.
Daniel G FusterNational Center of Competence of Research NCCR Kidney.CH.
Nasser A DhayatNephrology & Dialysis Care Center, B. Braun Medical Care AG, Hochfelden, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8310-5921
Harald SeegerDivision of Nephrology, University Hospital Zurich, Zurich, Switzerland.
Alexander RitterDivision of Nephrology, University Hospital Zurich, Zurich, Switzerland.
Olivier BonnyNational Center of Competence of Research NCCR Kidney.CH.
Gregoire WuerznerService of Nephrology and Hypertension, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-6424-7630
Thomas ErnandezService of Nephrology, Geneva University Hospitals, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-6557-8303
Stephan SegererDivision of Nephrology, Kantonsspital Aarau, Aarau, Switzerland.ORCID https://orcid.org/0000-0002-1936-9719
Beat RothDepartment of Urology, Inselspital, University of Bern, Bern, Switzerland.
Isabel Rubio-AliagaInstitute of Physiology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1051-9511
Carsten A WagnerInstitute of Physiology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9874-8898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 24-hour urinary phosphate excretion (24hUrP) is indicative of intestinal phosphate absorption in steady-state conditions. Nevertheless, 24-hour urine collections are cumbersome and error-prone. Previous studies suggested that spot urine phosphate (uPi) could serve as a practical substitute to predict 24hUrP, however, these data originated only from patients with chronic kidney disease. Here, we investigated the validity of predictive equations using spot urine parameters to assess 24hUrP in a cohort with normal kidney function (eGFR >60 ml/min per 1.73 m Methods: Published equations for 24hUrP were tested in our cohort and a novel predictive equation was developed. Pearson correlation coefficients and Bland-Altman plots were used to assess the relationship between spot uPi and spot urine creatinine (uCr) and 24hUrP. Additionally, forward multivariate analysis was performed to predict uPi excretion. Results: Previously published equations provided less accurate prediction of 24hUrP from spot urine. Log-transformed 24hUrP with log-transformed spot uPi and creatinine yielded the best model fit. In addition, inclusion of age, sex, and BMI significantly improved prediction of 24hUrP. Compared with spot uPi and uCr alone ( Conclusions: Here, we present a new equation for predicting 24hUrP from spot urine samples of individuals with normal kidney function. This model has a moderate ability to explain 24hUrP variance but has the strength to use only parameters routinely collected in clinical settings such as spot urinary phosphate and creatinine, sex, BMI, and age.

Indexed as

24-hour urine phosphatekidney diseasepredictive equationspot urinethe Swiss Kidney Stone Cohort

Identifiers

PMID40357498
PMCPMC12067064

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.